How to Use the Layup MCP in Pydantic AI

Q: How do I use Layup with Pydantic AI?

Install the slim package and use MCPToolset to connect to your server. Pass this toolset into your agent to enable type-safe interaction with your orders.

Type-safe Layup order management for your Pydantic AI applications.

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Connect Layup MCP to Pydantic AI

Create your Vinkius account to connect Layup to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Layup with Pydantic AI

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Claude

Perplexity

Strictly typed Layup MCP Server tools

Every tool response is validated against your Pydantic models at runtime. If `get_payment` returns an unexpected field, the agent fails immediately to prevent corrupted state. This ensures your agent logic remains predictable. You define the structure, and the framework enforces it on every tool call.

Reliable order lifecycle handling

Manage the full flow of lay-by orders using `create_order` and `cancel_order`. Your agent operates with confidence because the types are defined before execution. This eliminates hallucinated fields during order processing. You get a clean, validated object every time your agent interacts with the server.

Financial data accuracy

Track deposits and payment status with `create_deposit` and `list_payments`. The framework ensures the data sent to your agent matches your expected schema. This adds a layer of safety to your financial operations. You catch API discrepancies instantly rather than downstream.

Setup guide

Set up Layup MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "layup-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Layup tools.",
)

result = await agent.run("List recent Layup transactions")
print(result.output)

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Common questions about Layup MCP in Pydantic AI

Install the slim package and use `MCPToolset` to connect to your server. Pass this toolset into your agent to enable type-safe interaction with your orders.

Yes. The framework validates every response against your models. If the server output doesn't match, you get a validation error instead of silent failure.

Yes. Since the framework is model-agnostic, you can swap between OpenAI, Anthropic, or local models without changing your tool definitions.

You provide your endpoint token during the connection setup. Vinkius handles the underlying secure handshake so your code remains simple.

The server transmits only the requested customer parameters via a secure, authenticated link. Because your agent uses Pydantic models, you explicitly define which data fields are accessible, preventing unauthorized access.

Use it with your favorite AI tools

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